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https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
allow setting size and cropping of snapshots and best.jpg endpoint
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@ -162,6 +162,13 @@ cameras:
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################
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take_frame: 1
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################
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# MQTT settings
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################
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# mqtt:
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# crop_to_region: True
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# snapshot_height: 300
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################
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# This will save a clip for each tracked object by frigate along with a json file that contains
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# data related to the tracked object. This works by telling ffmpeg to write video segments to /cache
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@ -381,9 +381,13 @@ def main():
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@app.route('/<camera_name>/<label>/best.jpg')
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def best(camera_name, label):
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if camera_name in CONFIG['cameras']:
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best_frame = object_processor.get_best(camera_name, label)
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if best_frame is None:
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best_frame = np.zeros((720,1280,3), np.uint8)
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best_object = object_processor.get_best(camera_name, label)
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best_frame = best_object.get('frame', np.zeros((720,1280,3), np.uint8))
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crop = bool(request.args.get('crop', 0))
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if crop:
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region = best_object.get('region', [0,0,300,300])
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best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
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height = int(request.args.get('h', str(best_frame.shape[0])))
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width = int(height*best_frame.shape[1]/best_frame.shape[0])
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@ -254,6 +254,14 @@ class TrackedObjectProcessor(threading.Thread):
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def snapshot(camera, obj):
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best_frame = cv2.cvtColor(obj['frame'], cv2.COLOR_RGB2BGR)
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mqtt_config = self.camera_config.get('mqtt', {'crop_to_region': False})
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if mqtt_config.get('crop_to_region'):
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region = obj['region']
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best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
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if 'snapshot_height' in mqtt_config:
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height = int(mqtt_config['snapshot_height'])
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width = int(height*best_frame.shape[1]/best_frame.shape[0])
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best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
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ret, jpg = cv2.imencode('.jpg', best_frame)
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if ret:
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jpg_bytes = jpg.tobytes()
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@ -310,9 +318,9 @@ class TrackedObjectProcessor(threading.Thread):
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def get_best(self, camera, label):
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best_objects = self.camera_states[camera].best_objects
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if label in best_objects:
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return best_objects[label]['frame']
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return best_objects[label]
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else:
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return None
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return {}
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def get_current_frame(self, camera):
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return self.camera_states[camera].current_frame
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